Video Subtitles
Generate SRT subtitles from video/audio with translation support. Transcribes Hebrew (ivrit.ai) and English (whisper), translates between languages, burns subtitles into video. Use…
Nimrod Gutman
@ngutman
What This Skill Does
Generates SRT subtitles from video or audio files using specialized transcription models for Hebrew (ivrit.ai) and English (Whisper), with optional translation and hardcoding of subtitles into the video.
Replaces manual subtitle creation and separate transcription tools by combining transcription, translation, and subtitle burning into a single command-line workflow.
When to Use It
- Transcribe a Hebrew or English video into plain text for note-taking
- Generate SRT subtitle files for a video to upload to social media
- Burn hardcoded subtitles into a video so they appear on all platforms including WhatsApp
- Translate Hebrew video subtitles to English and embed them in the video
- Force transcription language when the video contains mixed or unclear audio
- Create a transcript of a recorded meeting or lecture for documentation
Install
$ openclaw skills install @ngutman/video-subtitlesVideo Subtitles
Generate movie-style subtitles from video or audio files. Supports transcription, translation, and burning subtitles directly into video.
Features
- Hebrew: ivrit.ai fine-tuned model (best Hebrew transcription)
- English: OpenAI Whisper large-v3
- Auto-detect: Automatically detects language and selects best model
- Translation: Translate Hebrew → English
- Burn-in: Hardcode subtitles into video (visible everywhere, including WhatsApp)
- Movie-style: Natural subtitle breaks (42 chars/line, 1-7s duration)
Quick Start
# Plain transcript
./scripts/generate_srt.py video.mp4
# Generate SRT file
./scripts/generate_srt.py video.mp4 --srt
# Burn subtitles into video (always visible)
./scripts/generate_srt.py video.mp4 --srt --burn
# Translate to English + burn in
./scripts/generate_srt.py video.mp4 --srt --burn --translate en
# Force language
./scripts/generate_srt.py video.mp4 --lang he # Hebrew
./scripts/generate_srt.py video.mp4 --lang en # English
Options
| Flag | Description |
|---|---|
--srt | Generate SRT subtitle file |
--burn | Burn subtitles into video (hardcoded, always visible) |
--embed | Embed soft subtitles (toggle in player) |
--translate en | Translate to English |
--lang he/en | Force input language |
-o FILE | Custom output path |
Output
- Default: Plain text transcript to stdout
- With
--srt: Createsvideo.srtalongside input - With
--burn: Createsvideo_subtitled.mp4with hardcoded subs
Requirements
- uv: Python package manager (auto-installs dependencies)
- ffmpeg-full: For burning subtitles (
brew install ffmpeg-full) - Models: ~3GB each, auto-downloaded on first use
Subtitle Style
- Font size 12, white text with black outline
- Bottom-aligned, movie-style positioning
- Max 42 chars/line, 2 lines max
- Natural breaks at punctuation and pauses
Top skills in this category
Summarizer
@ivangdavilaSummarizes any source without losing the claim: documents, meetings, papers, threads, transcripts, data, and code changes. Use when asked to summarize, condense, shorten, recap, distill, or write a TLDR, abstract, or executive summary; when a source is too long to read or must hit a word count; when summarizing a call, interview, Slack channel, pull request, contract, earnings report, podcast, or a stack of sources on one topic; when a summary dropped something important, invented a detail, turned a hedge into a fact, or reads like the headings; and when the same material must be re-cut for another audience, length, or channel. Covers compression ratios, chunking, faithfulness and omission audits. Not for recurring external feeds (`digest`), decision documents whose point is the recommendation (`brief`), cross-source insight generation rather than compression (`synthesize`), or pulling text or a transcript out of a file or video first (`extract-pdf-text`, `youtube-video-transcript`).
Humanizer
@biostartechnologyRemove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
SuperDesign
@mpociotExpert frontend design guidelines for creating beautiful, modern UIs. Use when building landing pages, dashboards, or any user interface.
Video Frames
@steipeteExtract frames or short clips from videos using ffmpeg.
Answer Overflow
@rhyssullivanSearch indexed Discord community discussions via Answer Overflow. Find solutions to coding problems, library issues, and community Q&A that only exist in Discord conversations.